Philips

The present disclosure provides a subject monitoring system, and methods for processing an input to subject monitoring systems. A plurality of subject windows are displayed by the subject monitoring system, each presenting at least part of subject data associated with a respective subject. An input indicating a target action to be performed on subject data associated with a target subject window is received. Based on the input, an action is initiated to be performed on subject data associated with a further subject window amongst the subject windows. Accordingly, a need to repeat the input for the further subject windows is obviated by the automated application of actions across multiple subject windows, potentially saving time for clinicians and improving consistency in data handling across different subjects.

Provided is an oral relief device (10) for an infant, the oral relief device being configured to be disassembled by a carer of the infant. The oral relief device has a disassembly control system (16) that is transformable, in a manner defined by the disassembly control system, from a first state to a second state. In the first state the disassembly control system provides a hinderance to disassembly of the oral relief device. Transformation of the disassembly control system to the second state removes said hinderance. The disassembly control system is further configured so that transformation from the first state to the second state is irreversible, with the first state being no longer adoptable by action of the carer once the disassembly control system has been transformed from the first state to the second state. Also provided is a method for disassembling the oral relief device, and a waste collection method for the used oral relief device.

A system (SS) and related method for supporting procedure in respect of entity (PAT). The procedure is guidable based on a stream of frames (mj) acquirable by an interventional imaging apparatus (IA) of the entity (PAT). The system comprises an input interface (IN) for receiving input data (d) indicative of an intended one implements (Pi, P1,P2) in a current FOV as per a current frame (mt0) displayable by a display device (DID). A selector module (SM) selects, based on the input data, a trained machine learning model. The selected ML model (M*) supports the procedure by being capable of providing a detection response, based on a current frame, of a part (Pij) of the intended implement as per the current frame (mt0), and in at least one future frame (mt'). Output interface (OUT) provides output data (e) including feedback data on the selected model.

The subject-matter of the present disclosure relates to a radiography system (100). The system comprises an imaging device (101) configured to expose a target area (106) to ionizing radiation and capture a radiographic image of the target area, an audio sensor (112) disposed proximate to the target area, and a controller (122) configured to receive an audio signal from the audio sensor, analyse the audio signal, and control an operating state of the imaging device based on the analysed audio signal.

The invention relates to a method of MR imaging which addresses the interplay of patient-induced artifacts, operational complexity, and the need for precise imaging of clinically relevant areas. The method comprises: acquiring MR imaging data from a patient's anatomy by executing at least one (pre-) scan to generate an image of the anatomy and to extract information including at least one of coil sensitivity distribution, Bu field distribution, Bl field distribution, spatial distribution of flow characteristics, spatial distribution of motion characteristics; identifying an anatomic structure or region of interest within the imaged anatomy; automatically adapting settings of an MR scanner used and/or parameters of an MR imaging sequence or protocol taking the extracted information into account for enhancing image quality or diagnostic utility for the identified anatomic structure or region of interest; and acquiring further MR imaging data from the patient's anatomy using the MR imaging sequence or protocol with the adapted settings and/or parameters to generate one or more optimized images of the identified anatomic structure or region of interest. Moreover, the invention relates to an MR imaging system and to a computer program.

A system and method for infection prediction. An infection prediction model, trained using a training dataset acquired in a first set of circumstances, and a set of physiological parameters for a subject, acquired in a second, different set of circumstances, are obtained. Data values identified as contextually different to the training dataset are identified in and removed from the set of physiological parameters to generate a modified set of physiological parameters. Input features are generated from the modified set of physiological parameters and provided to the infection prediction model to generate an infection prediction score for the subject.

The present disclosure provides a method for speech control of a system. The method includes predicting an input for control of the system based on detected speech of a user, generating a confirmation code, displaying the predicted input and the generated confirmation code, and responsive to receiving a further input from the user including the confirmation code, generating a control signal for controlling the system based on the predicted input. The method enhances accuracy and reliability in speech-controlled systems by incorporating user verification through dynamic generation of a confirmation code to be displayed with the predicted input.

The present invention relates to an X-ray system and an apparatus for controlling X-ray imaging, in particular a footswitch having at least one pedal comprising a pedal plate configured to be moveable by a user operation, and a base plate configured to provide an end position for a movement of the pedal in which contact between the pedal plate and the base plate in established in a contact area having a relatively limited size of 200 mm2 or less. In one aspect, at least one of the base plate and the pedal plate is provided with a cut-out overlapping with at least part of the other one of the based plate and the pedal plate, the contact area being adjacent to the cut-out arranged along a periphery of the cut-out. In another aspect, the contact area is defined by one or more contact structures or elements on a contact side of the base plate and/or the pedal plate.

Disclosed herein is a medical method. The method comprises retrieving (200) application usage data (126) from a log (122). The application usage data (126) is descriptive of user interface actions performed during performing at least one medical image generating protocol with at least one image processing application (124). The method further comprises generating (202) protocol-specific lists (128) descriptive of the at least one medical image generating protocol by reformatting the application usage data (126). The method further comprises constructing (204) a semantically encoded database (130) from the protocol-specific lists (128). The method further comprises providing (206) a task monitor system (134) constructed from a general purpose large language model (132) configured to integrate the semantically encoded database (130) into prompt responses.

A bitstream, an encoder and method for encoding the bitstream, and a decoder and method for decoding the bitstream. The bitstream comprises one or more texture patches and one or more depth patches for each region in the scene that does not contain a non-Lambertian reflecting surface, one or more texture patches and one or more depth patches for any non-Lambertian reflecting surface in the scene, and at least one texture patch and at least one depth patch for each virtual object in any non-Lambertian reflecting surface. The one or more texture patches for any non-Lambertian reflecting surface and the at least one texture patch for each virtual object each comprises a color value and a density value for each pixel.